StemVacs-V is under clinical development by Res Nova Bio and currently in Phase II for Metastatic Breast Cancer. According to GlobalData, Phase II drugs for Metastatic Breast Cancer have a 32% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how StemVacs-V’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

StemVacs-V overview

The vaccine candidate is under development for the treatment of  glioma, colorectal cancer, lung cancer and metastatic breast cancer. It is administered through subcutaneous and intravenous route. It is generated by using dendritic cell progenitors isolated from patients.

The vaccine candidate was under development for the treatment of breast cancer, prostate cancer.

Res Nova Bio overview

Res Nova Bio is dedicated to the development of cancer inhibiting anti-angiogenesis immunotherapies.

For a complete picture of StemVacs-V’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 12 April 2024

Data Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.